Production AI Systems Engineered for Mission-Critical Enterprise Workflows
We bridge the gap between experimental AI prototypes and resilient, compliance-grade production. Custom agentic pipelines, high-throughput financial architectures, and private VPC LLM deployments with zero data leakage.
What's New
New: Signed at the Sensor
Measurement provenance, integrity checks and replayable processing evidence for multi-source systems — the full paper, digitally signed.
New: Accountable Fusion
A third patent application, companion to Project SENTINEL — sensor fusion that accounts for every report it receives.
Updated: Project SENTINEL
Now covers all four patent applications — the fourth covering consensus across AI systems and other sources that give a verdict rather than a measurement — with an extended list of where the work applies.
Our Core Architecture Pillars
AI Strategy & AI-tecting
A fixed AI readiness assessment, use-case prioritization, and a phased roadmap that runs on The Harness Framework's own discipline — proven before it's built, not after a sprint reveals the gap.
Agentic Workflow Engineering & Orchestration
Multi-step autonomous LLM agents backed by deterministic finite state machines, human-in-the-loop approvals, and full transaction audit logs.
Quantitative FinTech Pipelines & Real-Time Risk Engines
Sub-millisecond data ingestion, real-time portfolio health monitoring, Greeks drift tracking, and automated risk firewalls — the same discipline that runs myMTree, our own live trading platform.
Private LLMs & Enterprise RAG Systems
Built on Anthropic's Claude models, deployed VPC-isolated with tenant-scoped retrieval pipelines, SOC2/GDPR-aligned data handling, and real vector indexing — not a wrapper around a public chat endpoint.
Cloud Infrastructure Modernization & DevOps
Next.js and Postgres monorepos refactored into resilient, event-driven services; zero-downtime database migrations; deployment pipelines running on pm2 and nginx that we've watched hold up in production, not in a slide.
Delivery, Governance & Improvement
Deployment is a milestone, not an exit — change management, model-drift monitoring, audit trails, and certification evidence stay on after go-live, the same discipline that governs myMTree's live risk engine.
How We Decide What's Worth Building
Adopting AI well starts with a different question than adopting any other technology — and every engagement runs on The Harness Framework to answer it honestly, before scope grows.
Engagement Delivery Model
2-Week Architecture & Feasibility Audit
$5,000 fixed. Codebase analysis, infrastructure bottleneck identification, security evaluation, and a production roadmap.
30-Day Working Pilot
Isolated sandbox. Containerized deployment demonstrating core agentic workflows or data pipelines with synthetic data.
Production Rollout & SLAs
Zero-downtime integration, auto-scaling configuration, continuous monitoring, and engineering team handoff.
Every engagement is discovery-first: your architecture, your constraints, your definition of done — before any proposal.